Assistant Professor
Guillaume St-Onge
School of Electrical Engineering and Computer Science, University of Ottawa
I build mathematical models and computational tools to better predict, monitor, and control contagion dynamics in interconnected systems.

About
I am an Assistant Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa. My research focuses on contagion dynamics, such as the spread of infectious diseases and social behaviors, and how they are mediated by complex networks. I develop models and computational methods drawing on stochastic processes, dynamical systems, network science, and Bayesian inference.
I completed an M.Sc. and Ph.D. in Physics at Université Laval as part of the Dynamica Research Lab, and I was a visiting graduate student at the Vermont Complex Systems Institute in the Joint Lab. Before joining uOttawa, I was at Northeastern University, first as a postdoc in the MOBS Lab and then as a Research Assistant Professor in the Department of Physics, with affiliations at the Roux Institute and the Network Science Institute.
Research areas
- Theory of contagion dynamics: mathematical framework for contagion on networks; branching processes and probability generating functions (see cosmo-notes); mapping of dynamical and statistical equivalences across contagion mechanisms
- Applications to infectious diseases: prediction of the spatial spread of pathogens; real-time forecasting of epidemics; optimization and inference methods for global sentinel surveillance systems; modeling and integration of wastewater surveillance data
News & activity
- July 2026Joined the School of Electrical Engineering and Computer Science at the University of Ottawa as an Assistant Professor.
- June 2026New article in Epidemics: A vision for estimation of the instantaneous reproductive number
- June 2026Part of the organizing team for NetSci 2026 — the International School and Conference on Network Science. ↗
- May 2026New preprint: The impact of behavioral homophily and conformity on epidemic spreading in networks with large groups
- May 2026New preprint: Simpson's paradox explains the ubiquity of nonlinear, threshold, and complex contagions
- March 2026New preprint: Group dynamics shape contagion onsets and multistable active phases under collective reinforcement
- February 2026New preprint: A multi-scale model to evaluate airport wastewater surveillance and ICU genomic monitoring for pandemic preparedness
- December 2025Co-organized the special session “The Art of Epidemics: Data Storytelling through Effective Visualizations” at Epidemics 10. ↗